Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
639
datasets available to search
ShareScore release 0.9.0
Dataset results
639 results for “spin”
Terahertz Néel spin-orbit torques drive nonlinear magnon dynamics in antiferromagnetic Mn2Au
<p>Data for the publication "<strong>Terahertz Néel spin-orbit torques drive nonlinear magnon dynamics in antiferromagnetic Mn<sub>2</sub>Au"</strong>, published in <em>Nat Commun</em> <strong>14</strong>, 6038 (2023). (https://doi.org/10.1038/s41467-023-41569-z).</p> <p>A preprint (2023) can be found on arxiv (https://doi.org/10.48550/arXiv.2305.03368).</p> <p>The datasets are provided for Figures 2-4.</p> <p>Files are provided as comma-separated text files with column headers. The value delimiter is comma " , ". The decimal separator is period " . "</p>
Dataset and scripts for "Non-zero temperature study of spin 1/2 charmed baryons using lattice gauge theory"
<p><strong>charmJ12Scripts</strong></p> <p>A set of scripts and folders to reproduce the analysis and plots in the spin 1/2 charm baryon paper which can be found at <a href="https://doi.org/10.1140/epja/s10050-024-01261-2">EPJA</a></p> <p> </p> <p>This repository includes the raw correlator data, the scripts and software used to analyse them as well as a script which can be run in order to reproduce the entire analysis, and particularly the figures in the manuscript.</p> <p> </p> <p><strong>correlators</strong></p> <p>Correlators from openqcd-fastsum-hadspec are zipped in the correlators folder. These are unzipped automatically by the script. The correlators are plain text files.</p> <p> </p> <p><strong>output</strong></p> <p>Analysis output is placed here. You do not need to look here in order to see the figures in the paper</p> <p> </p> <p><strong>code</strong></p> <p>The python code and scripts that do the analysis. There is some modularity here with the libraries in the lib folder</p> <p> </p> <p><strong>paperPlots</strong></p> <p>The plots from the paper will be generated here. They are not supplied with this repo as they can be found in the paper</p> <p> </p> <p><strong>plotXYData</strong></p> <p>The x-y and y-error data of each plot in the paper. Only 'scatter' style data is included. This is generated by the run script, but also supplied herein. It will be overwritten by the runscript</p> <p> </p> <p><strong>run</strong></p> <p>The folder where the main script needed to run all the analysis is.</p> <p> </p> <p><strong>Conda Notes</strong></p> <p>Install your favourite conda solution, such as <a href="https://docs.conda.io/en/latest/miniconda.html">https://docs.conda.io/en/latest/miniconda.html</a></p> <p> </p> <p>Switch to a faster environment solver</p> <p>This is optional, but likely will solve the dependencies much much faster. See <a href="https://www.anaconda.com/blog/a-faster-conda-for-a-growing-community">https://www.anaconda.com/blog/a-faster-conda-for-a-growing-community</a> <code>conda update -n base conda</code> <code>conda install -n base conda-libmamba-solver</code> <code>conda config --set solver libmamba</code></p> <p> </p> <p>Install Environment</p> <p><code>conda env create -f environment.yml</code></p> <p> </p> <p>Activate/Use</p> <p><code>conda activate charm</code></p> <p> </p> <p>Update (w. new packages)</p> <ol> <li>Edit <code>environment.yml</code></li> <li>Deactivate conda environment with <code>conda deactivate</code></li> <li>Update conda environment with <code>conda env update -f=environment.yml</code></li> </ol>
Phantom measurement data for 'Complex B1+ mapping with Carr-Purcell spin echoes and its application to electrical properties tomography', Iyyakkunnel et al. (2022)
<p>This dataset contains the phantom measurement data used in the published article Iyyakkunnel et al., 'Complex B1+ mapping with Carr-Purcell spin echoes and its application to electrical properties tomography', Magn Reson Med. 2022;87:1250–1260 (doi: 10.1002/mrm.29020). The acquisitions were made with a 3 T MRI system (Magnetom Prisma; Siemens Healthcare, Erlangen, Germany) using the body coil for transmission and the a 20-channel head and neck coil for reception. Phase images from multichannel coil data were reconstructed using the manufacturer’s “adaptive coil combine” method. Magnitude measurements for B1 reconstruction using actucal flip angle imaging (AFI) is also included. Phantom scans were also performed with a 1H/23Na transmit/receive birdcage coil (RAPID Biomedical, Rimpar, Germany) for the Supporting Information Figure S1. The data includes the magnitude and phase measurements for the suggested Carr Purcell spin echo sequence with 10 echoes (in dicom (.dcm) format). For further measurement details, please refer to the mentioned original article.</p>
Coherent manipulation of nuclear spins in the strong driving regime
<p>Data for <a href="https://iopscience.iop.org/article/10.1088/1367-2630/ad0c0b">manuscript</a> with the same name. Consists of four parts:</p><p>(1) DC characterization: all files having a format corresponding to "20230129*.dat"</p><p>(2) Finite element analysis: all files having a format corresponding to "B_field_*.txt"</p><p>(3) Proton Rabi oscillations: all files having a format corresponding to "20230112*.dat", "20230119*.dat" and "20230120*.dat"</p><p>(4) Spiral transmission: a CSV file</p><p> </p>
Fig. 4 in Silk Spinning Behavior Varies from Species-Specific to Individualistic in Embioptera: Do Environmental Correlates Account for this Diversity?
Fig. 4. Computation of similarity between two sequences. For two individuals of Aposthonia borneensis (Hagen) (Oligotomidae), the first 500 steps of their spin sequences are shown (A and B).The red bar underlining a short sequence indicates one 15-step subsequence that is highly similar between these two individuals. For all possible pairs of 15 step subsequences, the heatmap displays the sequence similarity (C), with red areas indicating regions of the spin sequence that are highly similar.The profiles on the margins of the heat map indicate the marginal maxima—that is, for each 15-step subsequence, what is the similarity to the most similar subsequence in the other individual. Portions of the sequence with similarities about 12 were deemed sufficiently similar to the other sequence (vertical or horizontal lines), amounting to about 5% of individual 1's sequence and 10% of individual 2's sequence.
Fig. 3 in Silk Spinning Behavior Varies from Species-Specific to Individualistic in Embioptera: Do Environmental Correlates Account for this Diversity?
Fig. 3. Kinematic diagrams displaying relative proportion of spin-steps in each position as relative size of the circles. Saturated black color of the body represents dorsal spinning; dark gray represents kinematics when the embiopteran faces the framework silk and spins with her ventral surface facing the camera and the emerging silk structure. Spinning was recorded during hour-long filming sessions in the laboratory in an apparatus as shown in Supp Fig. 1 [online only]. (A) Notoligotoma hardyi average spin dynamics, (B) Haploembia tarsalis average spin dynamics, (C) Diagram shows the positions of the different possible spinsteps whereby the words are placed in the position of the front foot as the embiopteran steps around her body to release silk with each foot fall.The same steps are taken on the left as well during spinning. See Supp Video 2 [online only] for examples of spinning behavior exhibited by individual females.
Fig. 5 in Silk Spinning Behavior Varies from Species-Specific to Individualistic in Embioptera: Do Environmental Correlates Account for this Diversity?
Fig. 5. Phylogenetic relationships and sequence similarities (n = 15) for all individuals in this study. (A) Sequence similarities are depicted as a heat map, with the diagonal representing self-similarities.The small outlined boxes along the diagonal indicate all intraspecific comparisons, and the mean intraspecific similarity for each species is depicted above the heat map. For comparison, the inset graph, (B) shows the similarity among pairs of species for a trait that is evolving according to the Ornstein-Uhlenbeck model.The large clade constituting the top 19 species shows high similarity among species (mostly dark colors in the upper left), but low similarity to the two outgroups to this clade (bottom six species, shows as lighter gray colors).The phylogenetic tree is based on Miller et al. 2012.
Fig. 7 in Silk Spinning Behavior Varies from Species-Specific to Individualistic in Embioptera: Do Environmental Correlates Account for this Diversity?
Fig. 7. Predictors of intraspecific similarity scores. The three panels show the partial residual plots for the three variables selected in the final model for a subsequence length of 15. Intraspecific similarity as a function of: (A) mean annual temperature, (B) temperature seasonality, and (C) silk gallery structure. Two-letter codes indicate the species as in Fig. 6.
Enhanced Molecular Spin-Photon Coupling at Superconducting Nanoconstrictions. Open data sets
<p>Includes data relevant for publication with DOI <a href="https://doi.org/10.1021/acsnano.0c03167">10.1021/acsnano.0c03167</a> plus a table with information on how the data were obtained and processed.</p>
Magnon Modes of Microstates and Microwave-Induced Avalanche in Kagome Artificial Spin Ice with Topological Defects
<p>The attached folder contains the dataset for the manuscript entitled "Magnon Modes of Microstates and Microwave-Induced Avalanche in Kagome Artificial Spin Ice with Topological Defects".</p>
Replication Data for: "Parabolic Diamond Scanning Probes for Single-Spin Magnetic Field Imaging
<p>Data repository for: <strong>Parabolic Diamond Scanning Probes for Single-Spin Magnetic Field Imaging</strong></p> <ul> <li><em>DataDescription.pdf</em><strong><em>: </em></strong>describes the uploaded data</li> <li><em>Data (folder): </em>folder containing <em>data.xlsx</em>, which summarizes all the data plotted in the paper as well as additional imaging and simulation data sets</li> <li><em>Code (folder): </em> contains Matlab code for converting and plotting certain data sets</li> </ul>
Galaxy spins
<p>Data for "An observed correlation between galaxy spins and initial conditions", Nature Astronomy (2020), https://arxiv.org/abs/2003.04800</p> <p>Added version 2 - Corrected errors in MaNGA and SAMI measurements</p>
How to reveal metastable skyrmionic spin structures by spin-polarized scanning tunneling microscopy
<p>We predict the occurrence of metastable skyrmionic spin structures such as antiskyrmions and<br> higher-order skyrmions in ultra-thin transition-metal films at surfaces using Monte Carlo simulations<br> based on a spin Hamiltonian parametrized from density functional theory calculations.Weshow that<br> such spin structures will appear with a similar contrast in spin-polarized scanning tunneling<br> microscopy images. Both skyrmions and antiskyrmions display a circular shape for out-of-plane<br> magnetized tips and a two-lobe butterfly contrast for in-plane tips. An unambiguous distinction can<br> be achieved by rotating the tip magnetization direction without requiring the information of all<br> components of the magnetization.</p>
Data of the publication: Nuclear spin coherence properties of 151Eu3+ and 153Eu3+ in a Y2O3 transparent ceramic by J. Karlsson et al.
<p>Data corresponding to the figures of the publication "Nuclear spin coherence properties of 151Eu3+ and 153Eu3+ in a Y2O3 transparent ceramic" by J. Karlsson et al., (https://doi.org/10.1088/1361-648X/aa529a). A text file describes data in each compressed folder, please refer to the caption in the publication for more details. </p>
Radiofrequency to Microwave Coherent Manipulation of an Organometallic Electronic Spin Qubit Coupled to a Nuclear Qudit
<p>Dataset containing ASCII files for Figures 2-8 of the paper </p><p>Radiofrequency to Microwave Coherent Manipulation of an Organometallic Electronic Spin Qubit Coupled to a Nuclear Qudit</p><p>Inorg. Chem. 2021, 60, 11273−11286</p>
Beating-free quantum oscillations in 2D electron gases with strong spin-orbit and Zeeman interactions
<p>Datafiles for figures in the paper:</p> <p><em>"Beating-free quantum oscillations in 2D electron gases with strong spin-orbit and Zeeman interactions"</em>, Phys. Rev. Research [<em>Accepted</em>]</p> <p>The datafiles relate to Figs. 2, 3, 10, 12, 14, 15, 16, and 17</p> <p>Figs. 1 and 13 contain schematics.</p> <p>Figs, 4, 6, and 8 are generated in a straightforwd manner using Eqs. (27), (34), and (40), respectively, using parameter values supplied in the figure captions.</p> <p>Fig. 5, is generated by Eq. (30) along with Eq. (29), using parameter values supplied in the figure captions.</p> <p>Fig. 7, is generated by Eq. (30) along with Eqs. (35) and (36), using parameter values supplied in the figure captions.</p> <p>Fig. 9, is generated by Eq. (30) along with Eqs. (41) and (42), using parameter values supplied in the figure captions.</p>
Dataset from 'Topological interfaces crossed by defects and textures of continuous and discrete point group symmetries in spin-2 Bose-Einstein condensates'
<p>Dataset associated with the publication 'Topological interfaces crossed by defects and textures of continuous and discrete<br>point group symmetries in spin-2 Bose-Einstein condensates' in Physical Review Research. <br>Source data for Figures 3-8 in the manuscript.</p>
In vivo parameter maps for: Unconstrained quantitative magnetization transfer imaging: disentangling T1 of the free and semi-solid spin pools
<p>Quantitative magnetization transfer and relaxometry maps as described in the Paper <em>Unconstrained quantitative magnetization transfer imaging: disentangling T1 of the free and semi-solid spin pools</em>.</p> <p>.</p>
Dataset from 'Composite cores of monopoles and Alice rings in spin-2 Bose-Einstein condensates'
<p>Dataset associated with the publication 'Composite cores of monopoles and Alice rings in spin-2 Bose-Einstein condensates ' in Physical Review Research. <br>Source data for Figures 2-5 in the manuscript.</p>
Transition of laser-induced terahertz spin currents from torque- to conduction-electron-mediated transport
<p>Data for the publication "Transition of laser-induced terahertz spin currents from torque- to conduction-electron-mediated transport" published in Physical Review B. The following datasets are provided: Conductivities, electro-optic THz signals vs time and corresponding Fourier amplitude spectra for thin and thick YIG, GIG, Maghemite, Magnetite and Fe, spin currents of the mentioned materials vs time and superposition of Fe and Maghemite spin currents and raw data.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.